
"""simple docstring"""






import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict




@pytest.mark.parametrize(
    '''split_dict''',					[
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''',					num_bytes=1_337,					num_examples=42,					dataset_name='''my_dataset'''			)}			),
        SplitDict({'''train''': SplitInfo(name='''train''',					num_bytes=1_337,					num_examples=42			)}			),
        SplitDict({'''train''': SplitInfo()}			),
    ],					)
def __magic_name__	(				_lowerCamelCase:		SplitDict			)					->						int:

	'''simple docstring'''




	lowerCAmelCase												=  split_dict._to_yaml_list()
	assert len(_lowerCamelCase			) == len(_lowerCamelCase			)
	lowerCAmelCase												=  SplitDict._from_yaml_list(_lowerCamelCase			)
	for split_name, split_info in split_dict.items():
		# dataset_name field is deprecated, and is therefore not part of the YAML dump
		lowerCAmelCase												=  None
		# the split name of split_dict takes over the name of the split info object
		lowerCAmelCase												=  split_name
	assert split_dict == reloaded




@pytest.mark.parametrize(
    '''split_info''',					[SplitInfo(), SplitInfo(dataset_name=_lowerCamelCase			), SplitInfo(dataset_name='''my_dataset'''			)]			)
def __magic_name__	(				_lowerCamelCase:		Dict			)					->						Optional[int]:

	'''simple docstring'''




	lowerCAmelCase												=  asdict(SplitDict({'''train''': split_info}			)			)
	assert "dataset_name" in split_dict_asdict["train"]
	assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name




"""simple docstring"""






import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase        =				logging.get_logger(__name__)

UpperCAmelCase        =				{
    """nvidia/segformer-b0-finetuned-ade-512-512""": (
        """https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json"""
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}



class 			lowercase					( lowercase__		):
			lowercase        =     '''segformer'''






			def __init__(self  :	str      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]=3      ,SCREAMING_SNAKE_CASE_  :	List[str]=4      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=[2, 2, 2, 2]      ,SCREAMING_SNAKE_CASE_  :	List[str]=[8, 4, 2, 1]      ,SCREAMING_SNAKE_CASE_  :	int=[32, 64, 160, 256]      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]=[7, 3, 3, 3]      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=[4, 2, 2, 2]      ,SCREAMING_SNAKE_CASE_  :	List[Any]=[1, 2, 5, 8]      ,SCREAMING_SNAKE_CASE_  :	Dict=[4, 4, 4, 4]      ,SCREAMING_SNAKE_CASE_  :	Optional[int]="gelu"      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]=0.0      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=0.0      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.1      ,SCREAMING_SNAKE_CASE_  :	List[Any]=0.02      ,SCREAMING_SNAKE_CASE_  :	str=0.1      ,SCREAMING_SNAKE_CASE_  :	Dict=1e-6      ,SCREAMING_SNAKE_CASE_  :	List[str]=256      ,SCREAMING_SNAKE_CASE_  :	List[str]=255      ,**SCREAMING_SNAKE_CASE_  :	Tuple      ,)       ->	int:





				"""simple docstring"""


				super().__init__(**SCREAMING_SNAKE_CASE_			)

				if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
					warnings.warn(
					    '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
					    ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''      ,SCREAMING_SNAKE_CASE_      ,)

				lowerCAmelCase												=  num_channels
				lowerCAmelCase												=  num_encoder_blocks
				lowerCAmelCase												=  depths
				lowerCAmelCase												=  sr_ratios
				lowerCAmelCase												=  hidden_sizes
				lowerCAmelCase												=  patch_sizes
				lowerCAmelCase												=  strides
				lowerCAmelCase												=  mlp_ratios
				lowerCAmelCase												=  num_attention_heads
				lowerCAmelCase												=  hidden_act
				lowerCAmelCase												=  hidden_dropout_prob
				lowerCAmelCase												=  attention_probs_dropout_prob
				lowerCAmelCase												=  classifier_dropout_prob
				lowerCAmelCase												=  initializer_range
				lowerCAmelCase												=  drop_path_rate
				lowerCAmelCase												=  layer_norm_eps
				lowerCAmelCase												=  decoder_hidden_size
				lowerCAmelCase												=  kwargs.get('''reshape_last_stage'''      ,SCREAMING_SNAKE_CASE_			)
				lowerCAmelCase												=  semantic_loss_ignore_index





class 			lowercase					( lowercase__		):
			lowercase        =     version.parse('''1.11'''		)






			@property
			def 					UpperCAmelCase							(self  :	Union[str, Any]			)       ->	Mapping[str, Mapping[int, str]]:





				"""simple docstring"""


				return OrderedDict(
				    [
				        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
				    ]			)






			@property
			def 					UpperCAmelCase							(self  :	str			)       ->	float:





				"""simple docstring"""


				return 1e-4






			@property
			def 					UpperCAmelCase							(self  :	Dict			)       ->	int:





				"""simple docstring"""


				return 12


